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Qwak
Available NowBest for Fast-growing companies seeking a fully managed ML PaaS to handle infrastructure, deployment, and feature stores without hiring DevOps.
Qwak is a fully managed Machine Learning Engineering platform that handles the entire pipeline from model building to production serving. Acting as a heavy PaaS (Platform-as-a-Service) over AWS or GCP, Qwak automates the provisioning of GPU infrastructure, manages feature stores, and handles CI/CD for machine learning models. It is highly favored by scale-ups who want the robust infrastructure of a dedicated ML engineering team without having to build and maintain the heavy Kubernetes and DevOps architecture themselves.
Pros & Cons
Pros
- Comprehensive end-to-end ML deployment platform
- Built-in feature stores and monitoring
- Seamless integration with existing data lakes
Cons
- Enterprise SaaS pricing structure
- Opinionated architecture can limit extreme customizations
Ideal Use Cases
CI/CD for AIEnd-to-End MLOpsFeature Store Management
| GPU Models | Managed Infrastructure (A10G, T4, L4) |
| GPU Types | L4, Managed Infrastructure (A10G, t4 |
| Headquarters | New York, NY |
| Founded | 2021 |
| Availability | Available Now |
| Website | qwak.com ↗ |
$1.50/ hour (starting)—$5.50/ hr (max)
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
Global
Starting from
$1.50/hr
Up to $5.50/hr
Frequently Asked Questions
Qwak GPU cloud pricing starts from $1.50/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Qwak offers Managed Infrastructure (A10G, T4, L4) GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Qwak operates data centers in Global. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Qwak and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Qwak offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.
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